Recognition of Limited Vocabulary Kannada Words Through Structural Pattern Matching: An Experimentation on Low Resolution Images

2013 ◽  
pp. 181-194
Author(s):  
S. A. Angadi ◽  
M. M. Kodabagi
Keyword(s):  
Pattern Matching ◽  
Low Resolution ◽  
Structural Pattern ◽  
Low Resolution Images

Caricaturing as a general method to improve poor face recognition: Evidence from low-resolution images, other-race faces, and older adults.

2019 ◽  
Vol 25 (2) ◽  
pp. 256-279 ◽  
Author(s):  
Amy Dawel ◽  
Tsz Ying Wong ◽  
Jodie McMorrow ◽  
Callin Ivanovici ◽  
Xuming He ◽  
...  
Keyword(s):  
Older Adults ◽  
Face Recognition ◽  
Low Resolution ◽  
General Method ◽  
Low Resolution Images

scholarly journals Modified Crack Detection of Sewer Conduit with Low-Resolution Images

2021 ◽  
Vol 11 (5) ◽  
pp. 2263
Author(s):  
Byung Jik Son ◽  
Taejun Cho
Keyword(s):  
Image Processing ◽  
Crack Detection ◽  
Threshold Value ◽  
Optimal Threshold ◽  
Optimal Parameters ◽  
Low Resolution ◽  
The Subject ◽  
Low Resolution Images

Imaging devices of less than 300,000 pixels are mostly used for sewage conduit exploration due to the petty nature of the survey industry in Korea. Particularly, devices of less than 100,000 pixels are still widely used, and the environment for image processing is very dim. Since the sewage conduit images covered in this study have a very low resolution (240 × 320 = 76,800 pixels), it is very difficult to detect cracks. Because most of the resolutions of the sewer conduit images are very low in Korea, this problem of low resolution was selected as the subject of this study. Cracks were detected through a total of six steps of improving the crack in Step 2, finding the optimal threshold value in Step 3, and applying an algorithm to detect cracks in Step 5. Cracks were effectively detected by the optimal parameters in Steps 2 and 3 and the user algorithm in Step 5. Despite the very low resolution, the cracked images showed a 96.4% accuracy of detection, and the non-cracked images showed 94.5% accuracy. Moreover, the analysis was excellent in quality. It is believed that the findings of this study can be effectively used for crack detection with low-resolution images.

scholarly journals DMAS Beamforming with Complementary Subset Transmit for Ultrasound Coherence-Based Power Doppler Detection in Multi-Angle Plane-Wave Imaging

Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4856
Author(s):  
Che-Chou Shen ◽  
Yen-Chen Chu
Keyword(s):  
Plane Wave ◽  
Power Doppler ◽  
P Value ◽  
Low Resolution ◽  
Ensemble Averaging ◽  
Stationary Tissue ◽  
Wave Imaging ◽  
Acquisition Delay ◽  
Complementary Subset ◽  
Low Resolution Images

Conventional ultrasonic coherent plane-wave (PW) compounding corresponds to Delay-and-Sum (DAS) beamforming of low-resolution images from distinct PW transmit angles. Nonetheless, the trade-off between the level of clutter artifacts and the number of PW transmit angle may compromise the image quality in ultrafast acquisition. Delay-Multiply-and-Sum (DMAS) beamforming in the dimension of PW transmit angle is capable of suppressing clutter interference and is readily compatible with the conventional method. In DMAS, a tunable p value is used to modulate the signal coherence estimated from the low-resolution images to produce the final high-resolution output and does not require huge memory allocation to record all the received channel data in multi-angle PW imaging. In this study, DMAS beamforming is used to construct a novel coherence-based power Doppler detection together with the complementary subset transmit (CST) technique to further reduce the noise level. For p = 2.0 as an example, simulation results indicate that the DMAS beamforming alone can improve the Doppler SNR by 8.2 dB compared to DAS counterpart. Another 6-dB increase in Doppler SNR can be further obtained when the CST technique is combined with DMAS beamforming with sufficient ensemble averaging. The CST technique can also be performed with DAS beamforming, though the improvement in Doppler SNR and CNR is relatively minor. Experimental results also agree with the simulations. Nonetheless, since the DMAS beamforming involves multiplicative operation, clutter filtering in the ensemble direction has to be performed on the low-resolution images before DMAS to remove the stationary tissue without coupling from the flow signal.

Simplifying spectroscopic supplementary data collection

2017 ◽  
pp. 6-10
Keyword(s):  
Data Collection ◽  
Peer Review ◽  
Spectroscopic Data ◽  
Supplementary Data ◽  
Low Resolution ◽  
Full Data ◽  
The Future ◽  
Published Paper ◽  
Low Resolution Images

Tony Davies and a number of others consider collecting supplementary spectroscopic data. Like Eurospec, the plan is to use such supplementary data not only to enhance the published paper, but also to aid thorough peer-review by allowing reviewers access to the full data rather than, as Tony puts it, “low-resolution images of data”. I’m sure you will be interested in a look at the future through this column.

Robust Drive Controlling System Based on Road Sign Detection for Low-Resolution Images

2021 ◽  
Author(s):  
Murali Keshav ◽  
Amartya Anshuman ◽  
Shashank Gupta ◽  
Shivanshu Mahim ◽  
Parakram Singh ◽  
...  
Keyword(s):  
Low Resolution ◽  
Road Sign ◽  
Controlling System ◽  
Sign Detection ◽  
Low Resolution Images

scholarly journals Spatial Injection to Low Resolution Images using IIHS Transform

2015 ◽  
Vol 8 (35) ◽  
Author(s):  
M. Ifjaz Ahmed ◽  
R. Sivagami ◽  
K. Joseph Abraham Sundar ◽  
K. Divyalakshmi ◽  
V. Sangeetha ◽  
...  
Keyword(s):  
Low Resolution ◽  
Low Resolution Images

Robust Classification of Head Pose from Low Resolution Images

2019 ◽  
pp. 530-541
Author(s):  
Mohammad Khaki ◽  
Issa Ayoub ◽  
Abbas Javadtalab ◽  
Hussein Al Osman
Keyword(s):  
Head Pose ◽  
Low Resolution ◽  
Robust Classification ◽  
Low Resolution Images
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